Changelog

2019-08-19 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Warn users about deprecation of python2

	* Fix incompatibility with numpy 1.17.0

	* Allow pythran-openblas as a fallback dependency for openblas

	* Better 32bit arch support

	* Better support of OpenMP collapse clause

	* Upgrade boost dep to 1.68 and xsimd dep to 7.2.2

	* Use static shape information for more efficient broadcasting

	* Allow / options on Windows platform in addition to Unix-style options

	* Fix typing issue for r-value dict/set/list

	* Allow to pass slice to pythran-exported functions

	* Fix np.arange for integral numbers

	* Fix static if support

	* Support tuple arguments for np.concatenate

	* Support default arguments for np.randint

	* Support kind argument for np.sort

2019-05-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Better support for `is None` pattern

	* Support numpy.byte in code and annotation

	* Fix string slice assignment

	* Support numpy.interp

	* Improved Windows support

	* Fix numpy.fft in presence of threading

	* Better error message upon type mismatch

	* Extended support for numpy.append

	* Fix ndarray printing

	* Property report error on Elippsis

	* Optimize away some uses of np.array

	* Properly support keyword-only arguments from Python3

	* Improved fixed-size array broadcasting

	* New annotation syntax for default argument through the '?' qualifier

	* Stricter type checking between Python and Pythran result type

	* Rely on beniget <https://github.com/serge-sans-paille/beniget> for some
	  analyses

	* Fix dtype inference for OSX and Windows, wrt 32/64 bits

	* Generate code compatible with OpenMP collapse clause

	* Fix np.bincount, np.angle, np.fromiter  implementation

	* Improved (but still incomplete) support of slicing of an array through
	  an array

	* Allow specification of memory layout for 2D array parameters in
	  annotations

	* Avoid useless copies for some dict operations

	* Support np.expand_dims, np.correlate, np.convolve, np.setdiff1d

	* Detect and specialize code for fixed-size list

	* Support more dot-idiom-to-blas forwarding

	* Fix important memory leak in numpy_gexpr to_python

2019-01-29 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Fix np.transpose regression

	* Updgrade xsimd to 7.1.2

	* Fix setup.py test target

2019-01-18 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Honor PYTHRANRC environment variable for config file lookup

	* Stricter type checking for export parameters

	* Allow some kind of list to tuple conversion

	* Lazy slicing of broadcasted expression and transposed expression

	* Support numpy.stack, numpy.rollaxis, numpy.broadcast_to,
	  numpy.ndarray.dtype.type

	* Better support of array of complex numbers

	* Verbose mode in pythran-config to debug compiler backend issues

	* Config file linting

	* Evaluate numpy.arange lazily when valid

	* Faster PRNG, namely pcg

	* Favor Python3 support in various places

	* Fix Numpy.remainder implementation

	* Better support for importing user modules

	* More vectorized operations support

2018-11-06 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Moving to xsimd as vectorization engine, requires -DUSE_XSIMD

	* Better support of view conversion from Python to Pythran

	* Improved Cython integration

	* Improved documentation, add exemple section

	* Updated ArchLinux Packaging

	* Remove useless warnings during compilation

	* Faster ``abs(x**2)`` for complex numbers

	* IPython magic now accepts most optimization flags

	* Automatic detection of partially (or fully) constant shape for arrays

	* Add ignoreflags settings to .pythranrc to skip some compiler flags

	* Quad number (aka long double) basic support

	* And many minor bugfixes, as usual :-)


2018-09-16 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Decent support for ``is None`` pattern

	* Bessel functions, aka scipy.special.stuff

	* ``__builtin__.slice`` support

	* ``np.unravel_index``, ``np.(u)intc`` support

	* Cleanup and fix issues around sdist / build_ext and stuff

	* O(1) View conversion to Python

	* Dropped big int support

	* Speed improvement for ``np.argmin``, ``np.argmax`` and square of complex

	* Allow partially (or fully) constant shape for arrays

	* Deterministic header inclusion (toward reproducible build?)

	* Better error report on argument mismatch

	* Better support for view arguments (but still lotta missing :-/)

	* Better Windows support (fix compiler-specific bugs) incuding OpenMP


2018-06-06 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Much better support of fancy indexing, still not 100% support though

	* Better distutils integration (extra_compile_args)

	* Better support for np.unique, functor, np.Inf, np.arange, it.repeat

	* Better support of user import from pythranized module (still no globals)

	* Better OSX support (fix compiler-specific bugs)

	* Most tests now work on Python 2 and Python 3

	* Many bugfixes triggered by the bug report of Yann Diorcet, Jean Laroche
	  and David Menéndez Hurtado, Fabien Rozar, C. Claus


2018-04-23 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* numpy.fft support (thanks to Jean Laroche)

	* Faster generalized expression

	* Faster numpy.transpose, numpy.argmax, numpy reduction

	* Sphinx-compatible generated docstring (thanks to Pierre Augier)

	* Python output through ``-P`` (thanks to Pierre Augier)

	* Many bugfixes and numpy improvements (thanks to Yann Diorecet and Jean Laroche)

2018-02-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Slimmer generated binaries

	* Preliminary native Windows support for Python3

	* Several numpy-related function improvements

	* @ operator support

	* Better negative index support and range detection

	* Glimpses of OpenMP4 support, min/max support in OpenMP reductions

	* Python Capsule support

	* Work around GCC-7 parsing bug

2017-10-14 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Moving to networkx 2.0

	* List/Tuple partial constant folding

	* Minor notebook integration fixes

	* Minor cython integration fixes

	* Memory leak removal

	* Support out field in numpy.sum

2017-09-12 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Significant compilation time improvements (again)

	* Improved cython cooperation

	* Many OSX and Python3 integration fixes

	* Revive pure C++ mode

	* Exported functions now support keyword passing style

2017-07-04 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Significant compilation time improvements

	* Support for separated .pythran files

	* Many bug fixes and perf improvement

2017-01-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Python 3 support

	* (unsound) Type Checker

	* Various bug fixes and perf improvement, as usual

2016-07-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Fix install / setup minor issues

	* Restore OpenMP support

	* Fix GMP installation issue

2016-06-13 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Better Jupyter Note book integration

	* Numpy Broadcasting support

	* Improved value binding analysis

	* Simple inlining optimization

	* Type engine improvement

	* Less fat in the generated modules

	* More and better support for various Numpy functions

	* Various performance improvement

	* Global variable handling, as constants only though

2016-01-05 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* IPython's magic for pythran now supports extra compile flags

	* Pythran's C++ output is compatible with Python3 and pythran3 can compile it!

	* More syntax checks (and less template traceback)

	* Improved UI (multiline pythran exports, better setup.py...)

	* Pythonic leaning / bugfixing (this tends to be a permanent item)

	* More generic support for numpy's dtype

	* Simpler install (no more boost.python deps, nor nt2 configuration)

	* Faster compilation (no more boost.python deps, smarter pass manager)

	* Better testing (gcc + clang)

2015-10-13 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Significantly decrease compilation time

	* Faster execution of numpy generalized slicing

	* Tentative conda support

	* Tentative Windows support (using Win Python)

	* Preserve original docstrings

	* Add __pythran__ global variable to pythran generated modules

	* Faster implementation of various itertools functions

	* Rely on distutils for module code compilation

	* Support most of numpy.random

	* Remove git and make dependency to install nt2

	* Proper pip support instead of distuils

	* Remove dependency to boost.python

	* Remove dependency to tcmalloc

	* Pythonic library cleaning (less dependencies / header / splitting / mrpropering)

	* More lazy computations

	* More numpy function support (including dot on matrices, linalg.norm, mean)

	* Lot of code cleaning / refactoring (both in Python and C++)

	* Many bugfixes, thanks to all the bug reporters!

2015-04-06 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Various numpy.* function implementation improvement (incl. concatenate,
	  str.join, itertools.combinations)

	* Better error detection during install step

	* 32 bit compatibility

	* Complete rewrite of the expression engine

	* Improved support of numpy extended expression

	* Better user feedback on invalid pythran spec

	* More efficient support of string litterals

	* Faster exponentiation when index is an integer

	* NT2 revision bump

	* No-copy list as numpy expression parameters

	* Accept C and fortran layout for input arrays

	* Range value analysis and boundcheck removal

	* Newaxis style indexing

	* Better array-of-complex support

	* Glimpses of python3 support

	* Support for importing user defined modules

	* Archlinux support

	* Accept strided array as exported function input

2014-10-22 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Full SIMD support! Almost all numpy expressions are vectorized

	* Better memory management at the Python/C++ layer, esp. when sharing

	* Support named parameters

	* Better complex numbers support

	* A lot of internal code cleaning

	* Better code generation for regular loops

	* MacOS install guide & ArchLinux packages

	* Travis run the test suite, w and w/ SIMD, w and w/ OpenMP

	* Many performance improvements at the numpy expression level

	* Faster array copies, including slices

	* Much better constant folding

	* Distutils support through a PythranExtension

	* Improve implementation of many numpy functions

	* Improve forward substitution

	* Use most recent nt2 version

	* Make dependency on libgomp optional

2014-05-17 Serge Guelton <serge.guelton@telecom-bretagne.eu>

	* Improved C++ compilation time (twice as fast)

	* Efficient extended slicing

	* Support most numpy dtype ([u]int8,..., [u]int64, float32, float64)

	* Support indexing array through boolean array

	* Add a nice Pythran logo :-)

	* Improve validation *a lot*

	* Reduce native module loading overhead

	* Forward substitution implementation

	* More numpy support and *many* bug fixes!

	* Remove array auto vectorization/parallelization